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| data analysis services pricing: Tabular Modeling in Microsoft SQL Server Analysis Services Marco Russo, Alberto Ferrari, 2017-04-12 Build agile and responsive business intelligence solutions Create a semantic model and analyze data using the tabular model in SQL Server 2016 Analysis Services to create corporate-level business intelligence (BI) solutions. Led by two BI experts, you will learn how to build, deploy, and query a tabular model by following detailed examples and best practices. This hands-on book shows you how to use the tabular model’s in-memory database to perform rapid analytics—whether you are new to Analysis Services or already familiar with its multidimensional model. Discover how to: • Determine when a tabular or multidimensional model is right for your project • Build a tabular model using SQL Server Data Tools in Microsoft Visual Studio 2015 • Integrate data from multiple sources into a single, coherent view of company information • Choose a data-modeling technique that meets your organization’s performance and usability requirements • Implement security by establishing administrative and data user roles • Define and implement partitioning strategies to reduce processing time • Use Tabular Model Scripting Language (TMSL) to execute and automate administrative tasks • Optimize your data model to reduce the memory footprint for VertiPaq • Choose between in-memory (VertiPaq) and pass-through (DirectQuery) engines for tabular models • Select the proper hardware and virtualization configurations • Deploy and manipulate tabular models from C# and PowerShell using AMO and TOM libraries Get code samples, including complete apps, at: https://aka.ms/tabular/downloads About This Book • For BI professionals who are new to SQL Server 2016 Analysis Services or already familiar with previous versions of the product, and who want the best reference for creating and maintaining tabular models. • Assumes basic familiarity with database design and business analytics concepts. |
| data analysis services pricing: Applied Microsoft SQL Server 2012 Analysis Services Teo Lachev, 2012-02 A guide to tabular modeling of the Innovative Business Intelligence Semantic Model describes such tasks as integrating data from multiple sources, implementing business calculations and KiIs, and designing cached and real-time data access. |
| data analysis services pricing: How to Start a Cloud Based Data Analysis Business AS, How to Start a Business About the Book: Unlock the essential steps to launching and managing a successful business with How to Start a Business books. Part of the acclaimed How to Start a Business series, this volume provides tailored insights and expert advice specific to the industry, helping you navigate the unique challenges and seize the opportunities within this field. What You'll Learn Industry Insights: Understand the market, including key trends, consumer demands, and competitive dynamics. Learn how to conduct market research, analyze data, and identify emerging opportunities for growth that can set your business apart from the competition. Startup Essentials: Develop a comprehensive business plan that outlines your vision, mission, and strategic goals. Learn how to secure the necessary financing through loans, investors, or crowdfunding, and discover best practices for effectively setting up your operation, including choosing the right location, procuring equipment, and hiring a skilled team. Operational Strategies: Master the day-to-day management of your business by implementing efficient processes and systems. Learn techniques for inventory management, staff training, and customer service excellence. Discover effective marketing strategies to attract and retain customers, including digital marketing, social media engagement, and local advertising. Gain insights into financial management, including budgeting, cost control, and pricing strategies to optimize profitability and ensure long-term sustainability. Legal and Compliance: Navigate regulatory requirements and ensure compliance with industry laws through the ideas presented. Why Choose How to Start a Business books? Whether you're wondering how to start a business in the industry or looking to enhance your current operations, How to Start a Business books is your ultimate resource. This book equips you with the knowledge and tools to overcome challenges and achieve long-term success, making it an invaluable part of the How to Start a Business collection. Who Should Read This Book? Aspiring Entrepreneurs: Individuals looking to start their own business. This book offers step-by-step guidance from idea conception to the grand opening, providing the confidence and know-how to get started. Current Business Owners: Entrepreneurs seeking to refine their strategies and expand their presence in the sector. Gain new insights and innovative approaches to enhance your current operations and drive growth. Industry Professionals: Professionals wanting to deepen their understanding of trends and best practices in the business field. Stay ahead in your career by mastering the latest industry developments and operational techniques. Side Income Seekers: Individuals looking for the knowledge to make extra income through a business venture. Learn how to efficiently manage a part-time business that complements your primary source of income and leverages your skills and interests. Start Your Journey Today! Empower yourself with the insights and strategies needed to build and sustain a thriving business. Whether driven by passion or opportunity, How to Start a Business offers the roadmap to turning your entrepreneurial dreams into reality. Download your copy now and take the first step towards becoming a successful entrepreneur! Discover more titles in the How to Start a Business series: Explore our other volumes, each focusing on different fields, to gain comprehensive knowledge and succeed in your chosen industry. |
| data analysis services pricing: Professional Microsoft SQL Server Analysis Services 2008 with MDX Sivakumar Harinath, Robert Zare, Sethu Meenakshisundaram, Matt Carroll, Denny Guang-Yeu Lee, 2011-01-31 When used with the MDX query language, SQL Server Analysis Services allows developers to build full-scale database applications to support such business functions as budgeting, forecasting, and market analysis. Shows readers how to build data warehouses and multi-dimensional databases, query databases, and use Analysis Services and other components of SQL Server to provide end-to-end solutions Revised, updated, and enhanced, the book discusses new features such as improved integration with Office and Excel 2007; query performance enhancements; improvements to aggregation designer, dimension designer, cube and dimension wizards, and cell writeback; extensibility and personalization; data mining; and more |
| data analysis services pricing: SQL Server's Developer's Guide to OLAP with Analysis Services Mike Gunderloy, Tim Sneath, 2006-07-14 The Skills You Need to Develop OLAP Solutions with SQL Server 2000 This one-of-a-kind book teaches you everything you need to know to use Microsoft's Analysis Services software to build, implement, and manage effective OLAP solutions. Expert advice and in-depth explanations combine to help you and your company take full advantage of the affordable power of SQL Server's built-in OLAP functionality. Coverage Includes: Analyzing large volumes of data effectively with Analysis Services Architecting and designing data analysis applications Querying OLAP data using MDX Programming applications using ADO/MD Managing Analysis Services servers with DSO Building data mining solutions with Analysis Services Using English Query for natural language querying of OLAP data Choosing appropriate client tools for exploring OLAP data Using the PivotTable Service for client-side data analysis Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file. |
| data analysis services pricing: Data Mining For Dummies Meta S. Brown, 2014-09-04 Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the pursuit of better business. By creating models and testing whether patterns hold up, it is possible to discover new intelligence that could change your business's entire paradigm for a more successful outcome. Data Mining for Dummies shows you why it doesn't take a data scientist to gain this advantage, and empowers average business people to start shaping a process relevant to their business's needs. In this book, you'll learn the hows and whys of mining to the depths of your data, and how to make the case for heavier investment into data mining capabilities. The book explains the details of the knowledge discovery process including: Model creation, validity testing, and interpretation Effective communication of findings Available tools, both paid and open-source Data selection, transformation, and evaluation Data Mining for Dummies takes you step-by-step through a real-world data-mining project using open-source tools that allow you to get immediate hands-on experience working with large amounts of data. You'll gain the confidence you need to start making data mining practices a routine part of your successful business. If you're serious about doing everything you can to push your company to the top, Data Mining for Dummies is your ticket to effective data mining. |
| data analysis services pricing: The Microsoft Data Warehouse Toolkit Joy Mundy, Warren Thornthwaite, 2007-03-22 This groundbreaking book is the first in the Kimball Toolkit series to be product-specific. Microsoft’s BI toolset has undergone significant changes in the SQL Server 2005 development cycle. SQL Server 2005 is the first viable, full-functioned data warehouse and business intelligence platform to be offered at a price that will make data warehousing and business intelligence available to a broad set of organizations. This book is meant to offer practical techniques to guide those organizations through the myriad of challenges to true success as measured by contribution to business value. Building a data warehousing and business intelligence system is a complex business and engineering effort. While there are significant technical challenges to overcome in successfully deploying a data warehouse, the authors find that the most common reason for data warehouse project failure is insufficient focus on the business users and business problems. In an effort to help people gain success, this book takes the proven Business Dimensional Lifecycle approach first described in best selling The Data Warehouse Lifecycle Toolkit and applies it to the Microsoft SQL Server 2005 tool set. Beginning with a thorough description of how to gather business requirements, the book then works through the details of creating the target dimensional model, setting up the data warehouse infrastructure, creating the relational atomic database, creating the analysis services databases, designing and building the standard report set, implementing security, dealing with metadata, managing ongoing maintenance and growing the DW/BI system. All of these steps tie back to the business requirements. Each chapter describes the practical steps in the context of the SQL Server 2005 platform. Intended Audience The target audience for this book is the IT department or service provider (consultant) who is: Planning a small to mid-range data warehouse project; Evaluating or planning to use Microsoft technologies as the primary or exclusive data warehouse server technology; Familiar with the general concepts of data warehousing and business intelligence. The book will be directed primarily at the project leader and the warehouse developers, although everyone involved with a data warehouse project will find the book useful. Some of the book’s content will be more technical than the typical project leader will need; other chapters and sections will focus on business issues that are interesting to a database administrator or programmer as guiding information. The book is focused on the mass market, where the volume of data in a single application or data mart is less than 500 GB of raw data. While the book does discuss issues around handling larger warehouses in the Microsoft environment, it is not exclusively, or even primarily, concerned with the unusual challenges of extremely large datasets. About the Authors JOY MUNDY has focused on data warehousing and business intelligence since the early 1990s, specializing in business requirements analysis, dimensional modeling, and business intelligence systems architecture. Joy co-founded InfoDynamics LLC, a data warehouse consulting firm, then joined Microsoft WebTV to develop closed-loop analytic applications and a packaged data warehouse. Before returning to consulting with the Kimball Group in 2004, Joy worked in Microsoft SQL Server product development, managing a team that developed the best practices for building business intelligence systems on the Microsoft platform. Joy began her career as a business analyst in banking and finance. She graduated from Tufts University with a BA in Economics, and from Stanford with an MS in Engineering Economic Systems. WARREN THORNTHWAITE has been building data warehousing and business intelligence systems since 1980. Warren worked at Metaphor for eight years, where he managed the consulting organization and implemented many major data warehouse systems. After Metaphor, Warren managed the enterprise-wide data warehouse development at Stanford University. He then co-founded InfoDynamics LLC, a data warehouse consulting firm, with his co-author, Joy Mundy. Warren joined up with WebTV to help build a world class, multi-terabyte customer focused data warehouse before returning to consulting with the Kimball Group. In addition to designing data warehouses for a range of industries, Warren speaks at major industry conferences and for leading vendors, and is a long-time instructor for Kimball University. Warren holds an MBA in Decision Sciences from the University of Pennsylvania's Wharton School, and a BA in Communications Studies from the University of Michigan. RALPH KIMBALL, PH.D., has been a leading visionary in the data warehouse industry since 1982 and is one of today's most internationally well-known authors, speakers, consultants, and teachers on data warehousing. He writes the Data Warehouse Architect column for Intelligent Enterprise (formerly DBMS) magazine. |
| data analysis services pricing: Statistical Analysis of Cost-Effectiveness Data Andrew R. Willan, Andrew H. Briggs, 2006-08-14 The statistical analysis of cost-effectiveness data is becoming increasingly important within health and medical research. Statistical Analysis of Cost-Effectiveness Data provides a practical book that synthesises the huge amount of research that has taken place in the area over the last two decades. Comprising an up-to-date overview of the statistical analysis of cost-effectiveness data, the book is supported by numerous worked examples from the author’s own experience. It has been written in a style suitable for medical statisticians and health care professionals alike. Key features include: an overview of statistical methods used in the analysis of cost-effectiveness data. coverage of Bayesian methodology. illustrated throughout by worked examples using real data. suitability for health care professionals with limited statistical knowledge. discussion of software used for data analysis. An essential reference for biostatisticians and health economists engaged in cost-effectiveness analysis of health-care interventions, both in academia and industry. Also of interest to graduate students of biostatistics, public health and economics. |
| data analysis services pricing: Computerworld , 1972-06-14 For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network. |
| data analysis services pricing: Hands-On SQL Server 2019 Analysis Services Steven Hughes, 2020-10-22 Get up to speed with the new features added to Microsoft SQL Server 2019 Analysis Services and create models to support your business Key FeaturesExplore tips and tricks to design, develop, and optimize end-to-end data analytics solutions using Microsoft's technologiesLearn tabular modeling and multi-dimensional cube design development using real-world examplesImplement Analysis Services to help you make productive business decisionsBook Description SQL Server Analysis Services (SSAS) continues to be a leading enterprise-scale toolset, enabling customers to deliver data and analytics across large datasets with great performance. This book will help you understand MS SQL Server 2019’s new features and improvements, especially when it comes to SSAS. First, you’ll cover a quick overview of SQL Server 2019, learn how to choose the right analytical model to use, and understand their key differences. You’ll then explore how to create a multi-dimensional model with SSAS and expand on that model with MDX. Next, you’ll create and deploy a tabular model using Microsoft Visual Studio and Management Studio. You'll learn when and how to use both tabular and multi-dimensional model types, how to deploy and configure your servers to support them, and design principles that are relevant to each model. The book comes packed with tips and tricks to build measures, optimize your design, and interact with models using Excel and Power BI. All this will help you visualize data to gain useful insights and make better decisions. Finally, you’ll discover practices and tools for securing and maintaining your models once they are deployed. By the end of this MS SQL Server book, you’ll be able to choose the right model and build and deploy it to support the analytical needs of your business. What you will learnDetermine the best analytical model using SSASCover the core aspects involved in MDX, including writing your first queryImplement calculated tables and calculation groups (new in version 2019) in DAXCreate and deploy tabular and multi-dimensional models on SQL 2019Connect and create data visualizations using Excel and Power BIImplement row-level and other data security methods with tabular and multi-dimensional modelsExplore essential concepts and techniques to scale, manage, and optimize your SSAS solutionsWho this book is for This Microsoft SQL Server book is for BI professionals and data analysts who are looking for a practical guide to creating and maintaining tabular and multi-dimensional models using SQL Server 2019 Analysis Services. A basic working knowledge of BI solutions such as Power BI and database querying is required. |
| data analysis services pricing: Microsoft SQL Server 2012 Analysis Services Alberto Ferrari, Marco Russo, Chris Webb, 2012-07-15 Build agile and responsive Business Intelligence solutions Analyze tabular data using the BI Semantic Model (BISM) in Microsoft SQL Server 2012 Analysis Services—and discover a simpler method for creating corporate-level BI solutions. Led by three BI experts, you’ll learn how to build, deploy, and query a BISM tabular model with step-by-step guides, examples, and best practices. This hands-on book shows you how the tabular model’s in-memory database enables you to perform rapid analytics—whether you’re a professional BI developer new to Analysis Services or familiar with its multidimensional model. Discover how to: Determine when a tabular or multidimensional model is right for your project Build a tabular model using SQL Server Data Tools in Microsoft Visual Studio 2010 Integrate data from multiple sources into a single, coherent view of company information Use the Data Analysis eXpressions (DAX) language to create calculated columns, measures, and queries Choose a data modeling technique that meets your organization’s performance and usability requirements Optimize your data model for better performance with xVelocity storage engine Manage complex data relationships, such as multicolumn, banding, and many-to-many Implement security by establishing administrative and data user roles |
| data analysis services pricing: Expert Cube Development with Microsoft SQL Server 2008 Analysis Services Chris Webb, Alberto Ferrari, Marco Russo, 2009-07-15 Design and implement fast, scalable and maintainable cubes with Microsoft SQL Server 2008 Analysis Services with this book and eBook |
| data analysis services pricing: Applied Microsoft Analysis Services 2005 and Microsoft Business Intelligence Platform Teo Lachev, 2005 Knowledge is power! As its name suggests, the promise of Microsoft SQL Server Analysis Services 2005 is to promote better data analytics by giving information workers the right tool to analyze consistent, timely, and reliable data. Empowered with Analysis Services and Microsoft Business Intelligence Platform, you are well positioned to solve the perennial problem with data--that there is too much of it and finding the right information is often difficult, if not impossible. Applied Micrisoft Analysis Services 2005 shows database administrators and developers how to build complete OLAP solutions with Microsoft Analysis Services 2005 and Microsoft Business Intelligence Platform. Database administrators will learn how to design and manage sophisticated OLAP cubes that provide rich data analytics and data mining services. The book gives developers the necessary background to extend UDM with custom programming logic, in the form of MDX expressions, scripts and .NET code. It teaches them how to implement a wide range of reporting applications that integrate with Analysis Services, Reporting Services, and Microsoft Office. This book doesn't assume any prior experience with OLAP and Microsoft Analysis Services. It is designed as an easy-to-follow guide where each chapter builds upon the previous to implement the components of the innovative Unified Dimensional Model (UDM) in a chronological order. New concepts are introduced with step-by-step instructions and hands-on demos. What's Inside: o Design sophisticated UDM models o Build ETL processes with SSIS o Implement data mining tasks o Enrich UDM programmatically with MDX o Extend UDM with SSAS stored procedures o Create rich end-user model o Optimize Analysis Services storage and processing o Implement dynamic security o Build custom OLAP clients o Author standard and ad-hoc reports with SSRS o Build Office-based BI applications and dashboards o and much more |
| data analysis services pricing: Corporate Disclosure United States. Congress. Senate. Committee on Government Operations. Subcommittee on Budgeting, Management, and Expenditures, 1974 |
| data analysis services pricing: Official Gazette of the United States Patent and Trademark Office , 2003 |
| data analysis services pricing: Exam Ref 70-535 Architecting Microsoft Azure Solutions Haishi Bai, Dan Stolts, Santiago Fernandez Munoz, 2018-06-04 Prepare for Microsoft Exam 70-535–and help demonstrate your real-world mastery of architecting complete cloud solutions on the Microsoft Azure platform. Designed for architects and other cloud professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Design compute infrastructure Design data implementation Design networking implementation Design security and identity solutions Design solutions by using platform services Design for operations This Microsoft Exam Ref: Organizes its coverage by exam skills Features strategic, what-if scenarios to challenge you Includes DevOps and hybrid technologies and scenarios Assumes you have experience building infrastructure and applications on the Microsoft Azure platform, and understand the services it offers |
| data analysis services pricing: Cloud Scale Analytics with Azure Data Services Patrik Borosch, 2021-07-23 A practical guide to implementing a scalable and fast state-of-the-art analytical data estate Key FeaturesStore and analyze data with enterprise-grade security and auditingPerform batch, streaming, and interactive analytics to optimize your big data solutions with easeDevelop and run parallel data processing programs using real-world enterprise scenariosBook Description Azure Data Lake, the modern data warehouse architecture, and related data services on Azure enable organizations to build their own customized analytical platform to fit any analytical requirements in terms of volume, speed, and quality. This book is your guide to learning all the features and capabilities of Azure data services for storing, processing, and analyzing data (structured, unstructured, and semi-structured) of any size. You will explore key techniques for ingesting and storing data and perform batch, streaming, and interactive analytics. The book also shows you how to overcome various challenges and complexities relating to productivity and scaling. Next, you will be able to develop and run massive data workloads to perform different actions. Using a cloud-based big data-modern data warehouse-analytics setup, you will also be able to build secure, scalable data estates for enterprises. Finally, you will not only learn how to develop a data warehouse but also understand how to create enterprise-grade security and auditing big data programs. By the end of this Azure book, you will have learned how to develop a powerful and efficient analytical platform to meet enterprise needs. What you will learnImplement data governance with Azure servicesUse integrated monitoring in the Azure Portal and integrate Azure Data Lake Storage into the Azure MonitorExplore the serverless feature for ad-hoc data discovery, logical data warehousing, and data wranglingImplement networking with Synapse Analytics and Spark poolsCreate and run Spark jobs with Databricks clustersImplement streaming using Azure Functions, a serverless runtime environment on AzureExplore the predefined ML services in Azure and use them in your appWho this book is for This book is for data architects, ETL developers, or anyone who wants to get well-versed with Azure data services to implement an analytical data estate for their enterprise. The book will also appeal to data scientists and data analysts who want to explore all the capabilities of Azure data services, which can be used to store, process, and analyze any kind of data. A beginner-level understanding of data analysis and streaming will be required. |
| data analysis services pricing: Internal Revenue Bulletin United States. Internal Revenue Service, 2006-08-28 |
| data analysis services pricing: Service Modelling Vilho Räisänen, 2007-01-11 Learn how to use service modelling to streamline and optimize processes! Information about customer needs, the technical composition of services, and service performance are fundamental to effective service management. Service modelling is a structured approach to utilizing this information to improve the way services are delivered. Consistent application of service modelling provides the automation of processes and timely access to information. Service Modelling presents a comprehensive, up-to-date overview of the topic, presented in the context both of business processes, and of requirements stemming from the need to manage network resources. Vilho Raisanen delivers a justification for service modelling, and explains state-of-the-art concepts, frameworks and standards in detail. Service Modelling: Provides a complete and illustrated overview of state-of-the-art concepts for service modelling, covering requirements and frameworks. Includes industry initiatives, conceptual frameworks, and the work of standardisation bodies. Discusses different modelling approaches, and the positioning of modelling of services in service management and in the wider operational context. Sets the modelling framework in the context of business drivers and modelling paradigms. Illustrates principles with real-world use cases, providing both fixed Internet and mobile network examples. Relates concepts to the work of TeleManagement Forum, giving practical examples throughout. Service Modelling: Principles and Applications is an invaluable guide to service modelling for telecommunications and data communications professionals, including vendors, operators, consultants, training organizations, service and content providers, system architects and engineers for IP-based services. Educational organizations, advanced undergraduate and graduate students on telecommunications and networking courses will also find this text invaluable. |
| data analysis services pricing: MULTIVARIATE DATA ANALYSIS R. Shanthi, 2019-06-10 Multivariate Data Analysis Introduction to SPSS Outliers Normality Test of Linearity Data Transformation Bootstrapping Homoscedasticity Introduction to IBM SPSS – AMOS Multivariate Analysis of Variance (MANOVA) One Way Manova in SPSS Multiple Regression Analysis Binary Logistic Regression Factor Analysis Exploratory Factor Analysis Confirmatory Factor Analysis Cluster Analysis K - Mean Cluster Analysis Hierarchical Cluster Analysis Discriminant Analysis Correspondence Analysis Multidimensional Scaling Example - Multidimensional Scaling (ALSCAL) Neural Network Decision Trees Path Analysis Structural Equation Modeling Canonical Correlation |
| data analysis services pricing: Proceedings of the First Membership Conference of the National Water Data Exchange, May 9-11, 1978, Denver, Colorado , 1979 |
| data analysis services pricing: Microsoft SQL Server 2012 Analysis Services Marco Russo, Alberto Ferrari, Chris Webb, 2012 Create Business Intelligence (BI) solutions with the Business Intelligence Semantic Model (BISM) Tabular model - and discover a simpler method for analyzing business data. |
| data analysis services pricing: Microsoft Azure Security Center Yuri Diogenes, Tom Shinder, 2018-06-04 Discover high-value Azure security insights, tips, and operational optimizations This book presents comprehensive Azure Security Center techniques for safeguarding cloud and hybrid environments. Leading Microsoft security and cloud experts Yuri Diogenes and Dr. Thomas Shinder show how to apply Azure Security Center’s full spectrum of features and capabilities to address protection, detection, and response in key operational scenarios. You’ll learn how to secure any Azure workload, and optimize virtually all facets of modern security, from policies and identity to incident response and risk management. Whatever your role in Azure security, you’ll learn how to save hours, days, or even weeks by solving problems in most efficient, reliable ways possible. Two of Microsoft’s leading cloud security experts show how to: • Assess the impact of cloud and hybrid environments on security, compliance, operations, data protection, and risk management • Master a new security paradigm for a world without traditional perimeters • Gain visibility and control to secure compute, network, storage, and application workloads • Incorporate Azure Security Center into your security operations center • Integrate Azure Security Center with Azure AD Identity Protection Center and third-party solutions • Adapt Azure Security Center’s built-in policies and definitions for your organization • Perform security assessments and implement Azure Security Center recommendations • Use incident response features to detect, investigate, and address threats • Create high-fidelity fusion alerts to focus attention on your most urgent security issues • Implement application whitelisting and just-in-time VM access • Monitor user behavior and access, and investigate compromised or misused credentials • Customize and perform operating system security baseline assessments • Leverage integrated threat intelligence to identify known bad actors |
| data analysis services pricing: Eurostat-OECD Methodological Guide for Developing Producer Price Indices for Services OECD, Statistical Office of the European Communities, 2007-05-09 Complements the International Producer Price Index Manual (PPI Manual) published by the IMF in 2004, by adding detailed descriptions of PPI measurement in a series of specific service industries. |
| data analysis services pricing: Multimedia Technology and Enhanced Learning Yu-Dong Zhang, Shui-Hua Wang, Shuai Liu, 2020-07-18 This two-volume book constitutes the refereed proceedings of the Second International Conference on Multimedia Technology and Enhanced Learning, ICMTEL 2020, held in Leicester, United Kingdom, in April 2020. Due to the COVID-19 pandemic all papers were presented in YouTubeLive. The 83 revised full papers have been selected from 158 submissions. They describe new learning technologies which range from smart school, smart class and smart learning at home and which have been developed from new technologies such as machine learning, multimedia and Internet of Things. |
| data analysis services pricing: Crafting and Shaping Knowledge Worker Services in the Information Economy Keith Sherringham, Bhuvan Unhelkar, 2020-02-12 This book offers a hands-on approach to prepare businesses for managing the impact of technology transformation by the pragmatic, consistent, and persistent application of proven business principles and practices. Technology is rapidly transforming our businesses and our society. Knowledge worker roles are being impacted, and as operations are being automated, business models are changing as the use of cloud-based services lowers costs and provides flexibility. This book provides a guide towards managing the environment of uncertainly caused by the rapid changes in technology by combining strategy and leadership to influence the environment, instil the right behaviours, and strengthen the skills that will enable businesses to be adaptive, responsive, and resilient. |
| data analysis services pricing: Viewing the Earth Pamela Etter Mack, 1990 Viewing the Earth examines the role played by interest groups in shaping the process of technological change, offering valuable insights into how technologies evolve. It traces the history of Landsat from its origins through the launch and use of the first few satellites, showing how a variety of forces shape the form and the eventual reception of any new technology. The Landsat earth resources satellite system was a project of The National Aeronautics and Space Administration that was created to collect data about earth resources from space. The first satellite was launched in 1972 with great fanfare and high expectations. The data proved useful for everything from finding oil to predicting harvests, yet today the successful commercialization of the program is still uncertain. Why? To answer this question, Pamela E. Mack focuses on the negotiating process that went on among different parts of the space agency, other interested government agencies, and various organizations that were potential users of the data. This formal and informal negotiating process, she points out, involved not only choices between alternative technologies and the satellite but also conflicting definitions of what the satellite would do. The story is full of fascinating detail, from the concerns of the intelligence community over civilian satellites looking at the earth to the politics of agricultural survey. Pamela E. Mack is Associate Professor in the History Department at Clemson University. |
| data analysis services pricing: Web Services: Concepts, Methodologies, Tools, and Applications Management Association, Information Resources, 2018-12-07 Web service technologies are redefining the way that large and small companies are doing business and exchanging information. Due to the critical need for furthering automation, engagement, and efficiency, systems and workflows are becoming increasingly more web-based. Web Services: Concepts, Methodologies, Tools, and Applications is an innovative reference source that examines relevant theoretical frameworks, current practice guidelines, industry standards and standardization, and the latest empirical research findings in web services. Highlighting a range of topics such as cloud computing, quality of service, and semantic web, this multi-volume book is designed for computer engineers, IT specialists, software designers, professionals, researchers, and upper-level students interested in web services architecture, frameworks, and security. |
| data analysis services pricing: WebGIS for Disaster Management and Emergency Response Rifaat Abdalla, Marwa Esmail, 2018-12-06 This book aims to help students, researchers and policy makers understand the latest research and development trends in the application of WebGIS for Disaster Management and Emergency Response. It is designed as a useful tool to better assess the mechanisms for planning, response and mitigation of the impact of disaster scenarios at the local, regional or national levels. It contains details on how to use WebGIS to solve real-world problems associated with Disaster Management Scenarios for the long-term sustainability. The book broadens the reader understanding of the policy and decision-making issues related to Disaster Management response and planning. |
| data analysis services pricing: Euro-Par 2008 Workshops - Parallel Processing Eduardo César, Michael Alexander, Achim Streit, Jesper Larsson Traff, Christophe Cérin, Andreas Knüpfer, Dieter Kranzlmüller, Shantenu Jha, 2009-04-09 Parallel and distributed processing, although within the focus of computer science research for a long time, is gaining more and more importance in a wide spectrum of applications. These proceedings aim to demonstrate the use of parallel and distributed processing concepts in different application fields, and attempt to spark interest in novel research directions to parallel and high-performance computing research in general. The objective of these workshops is to specifically address researchers coming from university, industry and governmental research organizations and application-oriented companies in order to close the gap between purely scientific research and the applicab- ity of the research ideas to real-life problems. Euro-Par is an annual series of international conferences dedicated to the pro- tion and advancement of all aspects of parallel and distributed computing. The 2008 event was the 14th issue of the conference. Euro-Par has for a long time been eager to attract colocated events sharing the same goal of promoting the dev- opment of parallel and distributed computing, both as an industrial technique and an academic discipline, extending the frontier of both the state of the art and the state of the practice. Since 2006, Euro-Par has been offering researchers the chance to co- cate advanced technical workshops back-to-back with the main conference. |
| data analysis services pricing: Enterprise Risk Management David L Olson, Desheng Dash Wu, 2007-12-21 This book expands the scope of risk management beyond insurance and finance to include accounting risk, terrorism, and other issues that can threaten an organization. It approaches risk management from five perspectives: in addition to the core perspective of financial risk management, it addresses perspectives of accounting, supply chains, information systems, and disaster management. It also covers balanced scorecards, multiple criteria analysis, simulation, data envelopment analysis, and financial risk measures that help assess risk, thereby enabling a well-informed managerial decision making. The book concludes by looking at four case studies, which cover a wide range of topics. These include such practical issues as the development and implementation of a sound risk management structure; supply chain risk and enterprise resource planning systems in information systems, and disaster management. |
| data analysis services pricing: Reforming China's Healthcare System China Development Research Foundation, 2017-10-16 Although China’s new healthcare reform, launched in 2009, has achieved remarkable results in improving China’s medical and healthcare system, it is recognised that there is still room for further improvement. This is especially important as China’s population ages, the prevalence of chronic diseases increases and environment-related health risks worsen. This book reports on a major international research project which examined health trends, modes of health promotion, health finance systems, medical and healthcare innovations and environment-related health risks in China. For each of these key areas, the book considers the current situation in China and likely future trends, explores best practice from a wide range of foreign countries and puts forward proposals for improvements. Overall, the book provides a major assessment of China’s medical and healthcare system and how it should be reformed. |
| data analysis services pricing: Congressional Oversight of Administrative Agencies (the Cost of Living Council) United States. Congress. Senate. Committee on the Judiciary. Subcommittee on Separation of Powers, 1974 |
| data analysis services pricing: Creating Value with Big Data Analytics Peter C. Verhoef, Edwin Kooge, Natasha Walk, 2016-01-08 Our newly digital world is generating an almost unimaginable amount of data about all of us. Such a vast amount of data is useless without plans and strategies that are designed to cope with its size and complexity, and which enable organisations to leverage the information to create value. This book is a refreshingly practical, yet theoretically sound roadmap to leveraging big data and analytics. Creating Value with Big Data Analytics provides a nuanced view of big data development, arguing that big data in itself is not a revolution but an evolution of the increasing availability of data that has been observed in recent times. Building on the authors’ extensive academic and practical knowledge, this book aims to provide managers and analysts with strategic directions and practical analytical solutions on how to create value from existing and new big data. By tying data and analytics to specific goals and processes for implementation, this is a much-needed book that will be essential reading for students and specialists of data analytics, marketing research, and customer relationship management. |
| data analysis services pricing: Departments of Veterans Affairs and Housing and Urban Development, and Independent Agencies Appropriations for 1996 United States. Congress. House. Committee on Appropriations. Subcommittee on VA, HUD, and Independent Agencies, 1995 |
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| data analysis services pricing: Business Intelligence and Big Data Celina M. Olszak, 2020-11-17 The twenty-first century is a time of intensifying competition and progressive digitization. Individual employees, managers, and entire organizations are under increasing pressure to succeed. The questions facing us today are: What does success mean? Is success a matter of chance and luck or perhaps is success a category that can be planned and properly supported? Business Intelligence and Big Data: Drivers of Organizational Success examines how the success of an organization largely depends on the ability to anticipate and quickly respond to challenges from the market, customers, and other stakeholders. Success is also associated with the potential to process and analyze a variety of information and the means to use modern information and communication technologies (ICTs). Success also requires creative behaviors and organizational cleverness from an organization. The book discusses business intelligence (BI) and Big Data (BD) issues in the context of modern management paradigms and organizational success. It presents a theoretically and empirically grounded investigation into BI and BD application in organizations and examines such issues as: Analysis and interpretation of the essence of BI and BD Decision support Potential areas of BI and BD utilization in organizations Factors determining success with using BI and BD The role of BI and BD in value creation for organizations Identifying barriers and constraints related to BI and BD design and implementation The book presents arguments and evidence confirming that BI and BD may be a trigger for making more effective decisions, improving business processes and business performance, and creating new business. The book proposes a comprehensive framework on how to design and use BI and BD to provide organizational success. |
| data analysis services pricing: Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning Ginger Grant, Julio Granados, Guillermo Fernandez, Pau Sempere, Javier Torrenteras, Paco Gonzalez, Tamanaco Francísquez, 2018-03-01 Prepare for Microsoft Exam 70-774–and help demonstrate your real-world mastery of performing key data science activities with Azure Machine Learning services. Designed for experienced IT professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Prepare data for analysis in Azure Machine Learning and export from Azure Machine Learning Develop machine learning models Operationalize and manage Azure Machine Learning Services Use other services for machine learning This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you are familiar with Azure data services, machine learning concepts, and common data science processes About the Exam Exam 70-774 focuses on skills and knowledge needed to prepare data for analysis with Azure Machine Learning; find key variables describing your data’s behavior; develop models and identify optimal algorithms; train, validate, deploy, manage, and consume Azure Machine Learning Models; and leverage related services and APIs. About Microsoft Certification Passing this exam as well as Exam 70-773: Analyzing Big Data with Microsoft R earns your MCSA: Machine Learning certifi¿cation, demonstrating your expertise in operationalizing Microsoft Azure machine learning and Big Data with R Server and SQL R Services. See full details at: microsoft.com/learning |
| data analysis services pricing: The Cloud-Based Demand-Driven Supply Chain Vinit Sharma, 2018-11-08 It’s time to get your head in the cloud! In today’s business environment, more and more people are requesting cloud-based solutions to help solve their business challenges. So how can you not only anticipate your clients’ needs but also keep ahead of the curve to ensure their goals stay on track? With the help of this accessible book, you’ll get a clear sense of cloud computing and understand how to communicate the benefits, drawbacks, and options to your clients so they can make the best choices for their unique needs. Plus, case studies give you the opportunity to relate real-life examples of how the latest technologies are giving organizations worldwide the opportunity to thrive as supply chain solutions in the cloud. Demonstrates how improvements in forecasting, collaboration, and inventory optimization can lead to cost savings Explores why cloud computing is becoming increasingly important Takes a close look at the types of cloud computing Makes sense of demand-driven forecasting using Amazon's cloud Whether you work in management, business, or IT, this is the dog-eared reference you’ll want to keep close by as you continue making sense of the cloud. |
| data analysis services pricing: Beginning T-SQL with Microsoft SQL Server 2005 and 2008 Paul Turley, Dan Wood, 2011-01-06 If you've not programmed with Transact-SQL, this book is for you.It begins with an overview of SQL Server query operations and tools used with T-SQL, and covers both the 2005 and 2008 releases of SQL Server query tools and the query editor. The book then moves to show you how to design and build applications of increasing complexity. Other important tasks covered include full text indexing, optimizing query performance, and application design and security considerations. The companion website also provides all of the code examples from the book. |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
